Tag Archives: big data

In a world focused on the value of Big Data, it’s important to realize that Small Data is meaningful, too, and worth analyzing to gain understanding. Let me show you with a personal example. If you’re a regular reader of the OdinText blog, you probably know that our company President, Tom Anderson, writes about performing […]

Text Analytics Tips, with your Hosts Tom & Gosia: Introductory Post Today, we’re blogging to let you know about a new series of posts starting in January 2016 called ‘Text Analytics Tips’. This will be an ongoing series and our main goal is to help marketers understand text analytics better. We realize Text Analytics is […]

Four Big Data and Text Analytics Myths Debunked [Visit Forbes.com for more detailed article] There are a lot of myths out there surrounding next generation research techniques around data from small to big. Text analytics, if done correctly, can offer insights into problems from a new more encompassing and accurate perspective. OdinText CEO, Tom H. […]

Coca-Cola Leverages OdinText analytics to develop new approach to social listening and wins ARF’s 2015 RE:Think Your Future “Make Your Mark” Award! At the Advertising Research Foundation’s (ARF) annual RE:Think Conference this week? Please join OdinText and The Coca-Cola Company this coming week at the 2015 Advertising Research Foundation’s annual RE:THINK event to learn more […]

Big Data Insights presented by Silicon Alley Network In Manhattan this Monday? If so please join OdinText founder Tom H. C Anderson along with Phil Leig Bjerknes of AllDayEveryDay and Afshim Goodarzi of 1010 data. Great networking event for anyone interested in big data analytics and tech startups. This is an invitation only event, so […]

The future of (big) “text analytics”: Dr. Kristof Coussement interviews Tom H.C. Anderson Dr. Kristof Coussement and his colleagues at IESEG in France have been doing some interesting research in the field of text analytics and he recently interviewed OdinText founder Tom H. C. Anderson on the future of text analytics and big data. […]

[Re Posted from Next Gen Market Research Blog] First Ever Text Analytics Cartoon It’s been a while since I’ve posted a cartoon here on the blog. However, all the buzzwords (Big Data, Hadoop, Natural Language Processing and Machine Learning etc.) constantly bandied about in our field inspired me – plus I don’t think I’ve ever […]

The Non-Dummies Guide for Selecting a Text Analytics (or any other) Partner Text Analytics is a Process, Not and End! What would you say should be the goal of good text analytics software? Based on the questions we get from clients investigating text analytics solutions there seems to be no small amount of confusion. The […]

[Re-posted from Next Gen Market Research Blog] Disruptive Technologists Meetup Those of you in Manhattan interested in Big Data and Analytics, I’ve been invited to represent text analytics – unstructured analysis on a big data panel at the Disruptive Technologists Meetup in NYC this coming Monday. Would love to see some other Next Gen Market […]

A Recap of Our Client Side Q&A Series In case you missed it last week, below are links to 10 Q&A blog posts ahead of the Useful Business Analytics Summit in Boston where I’ve been asked to moderate the panel on CRM and Loyalty Analytics. We received a lot of positive feedback on a […]

Selecting the Best Analytics Software at the Right Price – What to Consider In our last Useful Business Analytics Summit Q&A post I asked our client side data scientists about unstructured data and text analytics. Today I ask them their thoughts on how they select analytics software whether for structured or unstructured data, and how […]

A tweet, a transaction, an email or a phone call – Do you have a preference? [Note: This is an ongoing series of interviews on analytics ahead of the Useful Business Analytics Summit. Feel free to check out the rest of the interviews beginning here] I thought this was an important question, and one I […]

As part of the interview series leading up to the Useful Business Analytics Summit today we post the Top 10 Tips from our analytics experts. Whether you are data mine more structured data, or like myself more often work with unstructured or mixed data using text analytics, I think you’ll agree that the following 10 […]

Today I asked a few of the Useful Business Analytics Summit speakers how they keep up to date in their fields. Q. WHAT SOURCES DO YOU FIND MOST USEFUL IN KEEPING UP TO DATE IN YOUR FIELD/ANALYTICS? The answers range from the more common and expected such as conferences, blogs and books to the somewhat more […]

I’ve been asked more than once, even by some of my more social media savvy Facebook friends why I use Foursquare. “What’s the point?!” they say. Well other than the more obvious benefits which include receiving the occasional promotional discounts I also occasionally do it as part of my personal Big Data diligence. At some […]

Analytics Experts on Big Data Misconceptions: Big Data isn’t difficult, it isn’t expensive, but it does require thinking! As mentioned yesterday, in preparation for the Useful Business Analytics Summit, so that fellow attendees will know more about each other and the event I’ll be posting a series of questions related to analytics here on […]

Interested in hearing how to make analytics more useful for your clients? I certainly am, and that’s why OdinText will sponsor this year’s Useful Business Analytics Summit in Boston, June 10-11. Perhaps what makes the event most unique is the promise that you won’t see one single salesy presentation – not even one of our […]

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Kevin I wonder how the results might have been different if respondents knew that government employees are unionized at a rate 5 times higher than private... – Sep 05, 1:31 PM

Scott Upham Several main themes can be derived from this analysis - 40% are generally positive perhaps by association with people they know - factory workers, teachers,... – Sep 03, 8:09 PM

Scott Shemwell the “W” word is important. The statement, “shrank by half when respondents were asked to provide a reason for their opinion,” is key. Seems like... – Aug 28, 3:21 PM

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Text Analytics involves applying advanced statistics and other machine learning techniques to text data in order to find patterns and discover important relationships, which leads to valuable insights.
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